New AI Tool Reads Your Unsent Messages And Gives Brutally Honest Truths
By 813 Staff

A major product shift is underway — New AI Tool Reads Your Unsent Messages And Gives Brutally Honest Truths, according to Elias Al (@iam_elias1) (this morning).
Source: https://x.com/iam_elias1/status/2063503368459346143
The quiet desperation of wanting unvarnished truth from a trusted peer is something every product leader knows. In a world of performative optimism and polite silence, the search for candid, constructive feedback has become a startup thesis in itself. That search has now produced an intriguing—if messy—new entrant from a team that has been operating in stealth for nearly a year.
Elias Al, a former product lead at a major collaboration software firm, posted a cryptic but telling teaser on June 7th, asking his followers, “How many times have you needed honest feedback but did not want…” The post from @iam_elias1 links to a waitlist for a new AI-powered tool codenamed *Veritas*. Internal documents obtained by 813 Morning Brief show that Veritas is designed to act as a synthetic, brutally honest sounding board—an AI that analyzes your work or ideas and surfaces critical gaps, risks, and blind spots without the social friction of asking a colleague.
The rollout has been anything but smooth. The waitlist launched earlier than planned, and engineers close to the project say the model’s core prompt architecture is still being tuned. The central challenge, they admit, is calibrating the line between “honest” and “hostile.” Early beta testers reported that an earlier version of the model would generate feedback so blunt it bordered on unhelpful, derailing brainstorming sessions rather than refining them. The team has since implemented a “perspective slider” that lets users adjust the abrasiveness of the feedback, though this feature is still in private testing.
Why this matters is straightforward: every startup founder and product manager has a graveyard of ideas that died because no one spoke up early enough. Veritas aims to be that scarce critic, available on demand. But its success hinges on trust. If the tool feels like a passive-aggressive colleague rather than a trusted advisor, adoption will stall.
What happens next is uncertain. Elias Al has not announced a public beta date, and internal sources indicate the team is debating whether to open the API for enterprise integrations or keep it as a standalone consumer app. For now, the only way in is that waitlist. The question is whether the feedback loop closes fast enough to matter.
